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Authors: Maxime Prieur ; Guillaume Gadek and Bruno Grilheres

Affiliation: Airbus Defence and Space, France

Keyword(s): Knowledge Base, Entity Embedding, Duplicate Detection, Graph Convolutional Networks.

Abstract: This paper explores the use of Graph Neural Network models producing node embeddings, in order to solve the not fully addressed problem of detecting similar items stored in a knowledge base. Leveraging pre-trained models for textual semantic similarity, our proposed method PIKA aggregates heterogeneous (structured and unstructured) characteristics of an entity and its neighborhood to produce an embedding vector that can be used in different tasks such as information retrieval or classification tasks. Our method learns specific weights for each information brought by an entity, enabling us to process it in an inductive fashion.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Prieur, M., Gadek, G. and Grilheres, B. (2022). Duplicate Detection in a Knowledge Base with PIKA. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 46-54. DOI: 10.5220/0010769500003116

@conference{icaart22,
author={Maxime Prieur and Guillaume Gadek and Bruno Grilheres},
title={Duplicate Detection in a Knowledge Base with PIKA},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2022},
pages={46-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010769500003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Duplicate Detection in a Knowledge Base with PIKA
SN - 978-989-758-547-0
IS - 2184-433X
AU - Prieur, M.
AU - Gadek, G.
AU - Grilheres, B.
PY - 2022
SP - 46
EP - 54
DO - 10.5220/0010769500003116
PB - SciTePress

- Science and Technology Publications, Lda.
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